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30 Data Economy Jobs
AWS PySpark Data Engineer
Data Economy
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are seeking a highlyskilled and experienced Senior Data Engineer to lead the end-to-end developmentof complex models for compliance and supervision. The ideal candidate will havedeep expertise in cloud-based infrastructure, ETL pipeline development, andfinancial domains, with a strong focus on creating robust, scalable, andefficient solutions.
Key Responsibilities:
-ModelDevelopment: Lead the development of advanced models using AWS services such asEMR, Glue, and Glue Notebooks.
-CloudInfrastructure: Design, build, and optimize scalable cloud infrastructuresolutions with a minimum of 5 years of experience.
-ETL PipelineDevelopment: Create, manage, and optimize ETL pipelines using PySpark forlarge-scale data processing.
-CI/CDImplementation: Build and maintain CI/CD pipelines for deploying andmaintaining cloud-based applications.
-Data Analysis:Perform detailed data analysis and deliver actionable insights to stakeholders.
-Collaboration:Work closely with cross-functional teams to understand requirements, presentsolutions, and ensure alignment with business goals.
-AgileMethodology: Operate effectively in agile or hybrid agile environments,delivering high-quality results within tight deadlines.
-FrameworkDevelopment: Enhance and expand existing frameworks and capabilities to supportevolving business needs.
-Documentation andCommunication: Create clear documentation and present technical solutions toboth technical and non-technical audiences.
Requirements
Requirements
Required Qualifications:
-05+ years ofexperience with Python programming.
-5+ years ofexperience in cloud infrastructure, particularly AWS.
-3+ years ofexperience with PySpark, including usage with EMR or Glue Notebooks.
-3+ years ofexperience with Apache Airflow for workflow orchestration.
-Solid experiencewith data analysis in fast-paced environments.
-Strongunderstanding of capital markets, financial systems, or prior experience in thefinancial domain is a must.
-Proficiency withcloud-native technologies and frameworks.
-Familiarity withCI/CD practices and tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
-Experience withnotebooks (e.g., Jupyter, Glue Notebooks) for interactive development.
-Excellentproblem-solving skills and ability to handle complex technical challenges.
-Strongcommunication and interpersonal skills for collaboration across teams andpresenting solutions to diverse audiences.
-Ability to thrivein a fast-paced, dynamic environment.
Benefits
Benefits
Standard Company Benefits
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Employment Type: Full Time, Permanent
Read full job description
What people at Data Economy are saying
Rating based on 4 Data Engineer
reviews
Anonymous · Data Science & Analytics
in Pune
Likes
Great work life balance Great learning opportunity cross skill training programs Freedom to speak opinions to higher authorities
- Salary - Excellent
+6 more
Dislikes
Upto now i couldn't find any
Data Engineer salary at Data Economy
reported by
27
employees
with 2-3
years exp.
₹5.2
L/yr - ₹11.5
L/yr
27%
less
than the average Data Engineer Salary in India
View more details
What Data Economy employees are saying about work life
based on 58 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Data Economy Benefits
Work From Home 
Soft Skill Training 
Health Insurance 
Cafeteria 
Education Assistance 
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